Pantograph Structural Health Monitoring via Multi-Sensor Arrays

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Solution Overview

Problem

Current pantograph structural health monitoring methods, relying on visual inspections and image analysis, are ineffective in detecting soldering joint failures, metal fatigue, and internal damages, requiring costly and time-consuming manual checks.

Innovation Solution

A structural health monitoring system utilizing in-situ sensors, including piezoelectric sensors, EMATs, accelerometers, and strain gauges, that can perform real-time or periodic inspections in both active and passive modes, detecting structural changes and damages within the pantograph.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If visual inspection system with image analysis is used, then external defects and thickness changes can be detected, but soldering joint failures, metal fatigues, and internal damages cannot be effectively detected

Engineering Contradiction:
Improvedetection capabilityVSAvoiddetection coverage
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent employs multiple types of sensors (accelerometers, strain gauges, piezoelectric sensors, EMATs) that can detect various types of damages including internal damages, soldering joint failures, and metal fatigues, not limited to external defects. This multi-functional sensor array enables comprehensive structural health monitoring across different damage modes and locations.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces in-situ sensors as intermediary elements mounted directly on the pantograph structure to detect structural changes. These sensors act as mediators between the structure and the monitoring system, enabling detection of internal damages and soldering joint failures that are inaccessible to external visual inspection systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If manual inspections are performed to check damages, then detection accuracy improves, but labor cost increases and inspection time is extended

Engineering Contradiction:
Improvedetection accuracyVSAvoidinspection efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent implements a self-monitoring system where sensors continuously collect structural health data without requiring manual intervention. The system automatically detects damages, generates alerts, and provides structural health assessments, eliminating the need for labor-intensive manual inspections while maintaining high detection accuracy.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The monitoring system operates continuously or periodically to collect structural health data, providing ongoing detection capability rather than intermittent manual inspections. This continuous monitoring improves productivity by eliminating repeated manual inspection cycles while maintaining consistent detection accuracy through automated sensor data collection and analysis.

Inventive Principle:
Principle #20Continuity of useful action

3Productivity

If in-situ sensors are deployed for real-time monitoring, then detection capability and monitoring efficiency improve, but system complexity increases

Engineering Contradiction:
Improvemonitoring efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent divides the monitoring system into modular components: sensors mounted on the pantograph, a data acquisition system, and a processing system. This segmentation allows the complex monitoring function to be distributed across independent modules, facilitating easier installation, maintenance, and scalability while maintaining high monitoring efficiency.

Inventive Principle:
Principle #1Segmentation

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables continuous, efficient, and accurate monitoring of pantograph structural integrity, reducing labor costs and improving detection capabilities beyond visual inspection limitations.

Implementation Method 1

The sensors may include piezoelectric sensors

Methodology Applied
Scientific EffectPiezoelectric effect: Piezoelectric Effect

Implementation Method 2

The sensors may include EMATs

Methodology Applied
Scientific EffectElectromagnetic-acoustic transduction: Electromagnetic Induction

Implementation Method 3

The sensors may include accelerometers

Methodology Applied
Scientific EffectInertial measurement: Inertia

Implementation Method 4

The sensors may include strain gauges

Methodology Applied
Scientific EffectStrain-induced resistance change: Piezoresistive Effect

Data Source

PatentUS10807621B2Train pantograph structural health monitoring system
Publication Date: 2020.10.20 BROADSENS CORP JIAXING
  • US10807621B2 patent drawing
  • US10807621B2 patent drawing

AI summary

The present invention discloses a train pantograph structural health monitoring system. The system includes one or more sensors mounted to or integrated with the train pantograph, a data acquisition unit for receiving signal or data from the sensors, and a processing unit for determining the train pantograph's structural health based on the received signal or data. Inspections via the system can be performed in real time continuously or periodically while a train is in service. It can also be performed offline while a train is not in service. Inspection method can be either passive, where sensors collect signals without generating excitation signals to the structure, or active, where some sensors are used as actuators to actively send excitation signals to the structure and other sensors or the actuators themselves collect the structural response signals. The data acquisition unit receives signals or data from sensors. The processing unit processes sensor data acquired by the data acquisition unit and determines if there are structural changes or damages.